Peters Susan, Vermeulen Roel, Portengen Lützen, Olsson Ann, Kendzia Benjamin, Vincent Raymond, Savary Barbara, Lavoué Jérôme, Cavallo Domenico, Cattaneo Andrea, Mirabelli Dario, Plato Nils, Fevotte Joelle, Pesch Beate, Brüning Thomas, Straif Kurt, Kromhout Hans
Environmental Epidemiology Division, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
J Environ Monit. 2011 Nov;13(11):3262-8. doi: 10.1039/c1em10628g. Epub 2011 Oct 14.
We describe an empirical model for exposure to respirable crystalline silica (RCS) to create a quantitative job-exposure matrix (JEM) for community-based studies. Personal measurements of exposure to RCS from Europe and Canada were obtained for exposure modelling. A mixed-effects model was elaborated, with region/country and job titles as random effect terms. The fixed effect terms included year of measurement, measurement strategy (representative or worst-case), sampling duration (minutes) and a priori exposure intensity rating for each job from an independently developed JEM (none, low, high). 23,640 personal RCS exposure measurements, covering a time period from 1976 to 2009, were available for modelling. The model indicated an overall downward time trend in RCS exposure levels of -6% per year. Exposure levels were higher in the UK and Canada, and lower in Northern Europe and Germany. Worst-case sampling was associated with higher reported exposure levels and an increase in sampling duration was associated with lower reported exposure levels. Highest predicted RCS exposure levels in the reference year (1998) were for chimney bricklayers (geometric mean 0.11 mg m(-3)), monument carvers and other stone cutters and carvers (0.10 mg m(-3)). The resulting model enables us to predict time-, job-, and region/country-specific exposure levels of RCS. These predictions will be used in the SYNERGY study, an ongoing pooled multinational community-based case-control study on lung cancer.
我们描述了一种用于可吸入结晶二氧化硅(RCS)暴露的经验模型,以创建用于基于社区研究的定量工作暴露矩阵(JEM)。获取了来自欧洲和加拿大的RCS暴露个人测量数据用于暴露建模。构建了一个混合效应模型,将地区/国家和工作头衔作为随机效应项。固定效应项包括测量年份、测量策略(代表性或最坏情况)、采样持续时间(分钟)以及来自独立开发的JEM对每个工作的先验暴露强度评级(无、低、高)。共有23640个个人RCS暴露测量数据可用于建模,时间跨度为1976年至2009年。该模型表明RCS暴露水平总体呈每年-6%的下降趋势。英国和加拿大的暴露水平较高,北欧和德国的暴露水平较低。最坏情况采样与报告的较高暴露水平相关,采样持续时间增加与报告的较低暴露水平相关。参考年份(1998年)预测的最高RCS暴露水平出现在烟囱砌砖工(几何均值0.11毫克/立方米)、纪念碑雕刻工以及其他石材切割工和雕刻工(0.10毫克/立方米)中。所得模型使我们能够预测RCS在时间、工作以及地区/国家方面的特定暴露水平。这些预测将用于SYNERGY研究,这是一项正在进行的基于多国社区的肺癌病例对照汇总研究。